12 citations · 58 across the 17 of their papers we have counts for
3 papers · 1 filter
On regularized polynomial functional regression
Markus Holzleitner, Sergei Pereverzyev
This article offers a comprehensive treatment of polynomial functional regression, culminating in the establishment of a novel finite sample bound. This bound encompasses various a…
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck +7
We study the problem of choosing algorithm hyper-parameters in unsupervised domain adaptation, i.e., with labeled data in a source domain and unlabeled data in a target domain, dra…
Domain Generalization by Functional Regression
Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger
The problem of domain generalization is to learn, given data from different source distributions, a model that can be expected to generalize well on new target distributions which…